"A server for finding information about antigravity technology and concepts" matching MCP servers:

Wraps Google's Antigravity CLI as MCP tools for Claude, enabling cost-disciplined multi-model execution with background jobs and fan-out research/review pipelines.

Enables MCP clients such as Claude Code, Codex, and Cursor to dispatch background subagent jobs to the Antigravity IDE's local agent engine and collect results asynchronously. Jobs run through the IDE's authenticated session without an API key, with optional Gemini REST fallback and on-disk job history.

Enables a single Antigravity IDE to explicitly drive multiple isolated Antigravity CLI workers, choosing each worker's account, model, skills, task, and expected outputs while the bridge executes those decisions over STDIO with SQLite-backed task state. It returns bounded logs, cancellable task control, and immutable artifact exports whose chunks and whole files can be verified by SHA-256.

Enables Gemini to control a visible dedicated Chrome profile with structured page controls, screenshot/coordinate tools, and compact output via Playwright MCP, without a separate API key.

An MCP server that uses Google Antigravity subagents as parallel workers for coding agents, enabling efficient task delegation with compact results.

Delegates frontend-only UI work—creation, redesign, responsive fixes, polish, and read-only inspection—to Google Antigravity CLI within registered project aliases and explicit scope guards. Backend, infrastructure, and mixed-scope requests are refused and returned as a structured handoff for the calling orchestrator to re-route.

Enables an agent to hand off bounded tasks to Gemini Flash through the Google Antigravity CLI, receiving live tool-progress notifications and a single compact final result over one MCP call. It runs event-driven with no polling, keeping raw events and evidence local while failing closed on errors, cancellation, or deadlines.

Bridges a locally installed and signed-in Google Antigravity subscription to MCP coding agents such as Cursor, Claude Code, and Codex, so prompts are answered through the existing Antigravity session without a separate API key or token cost. Supports multi-turn conversations via session ids and lets agents on remote machines reach the Mac-hosted server over an SSH reverse forward.

A local-STDIO MCP server that lets Codex invoke the Antigravity CLI from any project, with project-owned routing guidance and enforceable policies.

Enables AI agents to query live 5-hour and 7-day quota limits, per-model allowances, and user plan tiers from the local Google Antigravity 2.0 Language Server. It also forecasts planned task consumption and self-learns from real pre/post measurements, isolating parallel-chat noise.

Acts as a programmatic bridge for the Google Antigravity Python SDK, enabling real-time AI agent swarms, bidirectional tool proxying, and Human-in-the-Loop execution safety.

Enables programmatic control of Google Antigravity 2.0 agents via MCP, with secure HTTP/stdio transports and Tailscale Funnel for remote access.

Let two AI agents build your app at the same time without stepping on each other by providing shared file locks, task delegation, and inter-agent communication.

Enables MCP clients to use the local Antigravity CLI for natural-language queries, repository analysis, and agent execution, reusing the user's Antigravity subscription without exporting credentials.

Connects Google Gemini and local workflows to Google Antigravity IDE, enabling skill, plugin, rule, artifact, and transcript inspection along with workspace command execution, runtime workspace switching, and orchestration of local project resources.

Enables an AI to delegate work to secondary Antigravity CLI accounts, running jobs in parallel with dependency (DAG) scheduling, file read/write declarations, warm multi-turn sessions, account quota tracking and compact result collection. Users simply describe their request in natural language while the AI plans and the server executes — no hand-written workflow JSON required.

Hosted remote MCP server for issuing run receipts, summarizing agent changes, checking test evidence, flagging review risks, and exporting run logs for Antigravity agents.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables Codex or Claude Code to orchestrate persistent Antigravity CLI workers as independent implementers and testers within restricted workspace roots. It supports asynchronous task dispatch, progress polling, result inspection, follow-up messages, and cancellation with bounded, audited local event logging.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

Enables STDIO-compatible AI assistants to queue coding work onto the official Google Antigravity CLI and track status, read reports or patches, query capabilities, or cancel running tasks without blocking. Supports trusted direct execution plus optional isolated or read-only modes depending on the platform.

Enables AI agents to control a user's existing Chrome browser with preserved logins, performing tab management, element interaction, script execution, and screenshots, all locally via a Chrome extension and Python bridge.

Provides tools to manage, initialize, and synchronize standardized agent configurations and specialized workflows across various projects. It enables AI agents to access global rules and role-specific guidelines for development, design, and planning via the Model Context Protocol.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

Enables MCP clients to delegate background subagent jobs to an IDE's local agent engine, queue and monitor them, and retrieve results while the orchestrator continues working.

Enables AI agents to drive the user's already-running Google Chrome through a WebSocket bridge, listing and switching tabs, navigating, clicking, typing, scrolling, extracting DOM, taking screenshots, and evaluating JavaScript. It works without restarting Chrome and preserves all existing logins, cookies, and 2FA sessions.

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.